The ability to detect and analyze failed executions automatically is crucial for an explainable
and robust robotic system. Recently, Large Language Models (LLMs) have demonstrated …

Artificial intelligence (AI) models for decision support have been developed for clinical
settings such as radiology, but little work evaluates the potential impact of such systems. In …

Gender/ing guides how we view ourselves, the world around us, and each other—including
non-humans. Critical voices have raised the alarm about stereotyped gendering in the …

While behavior cloning has recently emerged as a highly successful paradigm for
autonomous driving humans rarely learn to perform complex tasks such as driving via …

Robots like human co-workers can make mistakes violating a human's trust in them. When
mistakes happen, humans can see robots as less trustworthy which ultimately decreases …

Trust is vital to promoting human and robot collaboration, but like human teammates, robots
make mistakes that undermine trust. As a result, a human's perception of his or her robot …

Robotic well-being coaches have been shown to successfully promote people's mental well-
being. To provide successful coaching, a robotic coach should have the capability to repair …

Robotic manipulation in open-world settings requires not only task execution but also the
ability to detect and learn from failures. While recent advances in vision-language models …

Robot co-workers, like human co-workers, make mistakes that undermine trust. Yet, trust is
just as important in promoting human-robot collaboration as it is in promoting human-human …

As high-speed, agile robots become more commonplace, these robots will have the
potential to better aid and collaborate with humans. However, due to the increased agility …